scipy
Scientific algorithms library for Python
SciPy is an open source library of scientific tools for Python. SciPy supplements the popular numpy module, gathering a variety of high level science and engineering modules together as a single package. SciPy includes modules for graphics and plotting, optimization, integration, special functions, signal and image processing, genetic algorithms, ODE solvers, and others.
homepage ↗homepage ↗homepage ↗ github: scipy/scipy pypi: scipy sourceforge: scipy
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| gentoo gitweb ↗ | 1.18.0 | 4 | 14 h | details › |
Versions & arches
| Version | Overlay | amd64 | arm64 | x86 | ppc64 | riscv | arm | loong | ppc | s390 | sparc | Committed | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.18.0 | gentoo | amd64 untested | arm64 untested | x86 untested | ppc64 untested | riscv untested | arm untested | loong untested | ppc untested | s390 untested | sparc untested | — | view · download · history ↗ |
| 1.17.1 | gentoo | amd64 stable | arm64 stable | x86 testing | ppc64 stable | riscv testing | arm testing | loong testing | ppc testing | s390 testing | sparc testing | — | view · download · history ↗ |
| 1.17.0 | gentoo | amd64 testing | arm64 testing | x86 testing | ppc64 testing | riscv testing | arm testing | loong testing | ppc testing | s390 testing | sparc testing | — | view · download · history ↗ |
| 1.16.3 | gentoo | amd64 stable | arm64 stable | x86 stable | ppc64 stable | riscv testing | arm stable | loong testing | ppc testing | s390 testing | sparc testing | — | view · download · history ↗ |
Use flags of 1.18.0
- doc Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
- +fortran Add support for fortran
- index64 Enable 64-bit array indexing support
- test-rust Enable important test dependencies that require Rust toolchain
- test Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)
- debug Enable extra debug codepaths, like asserts and extra output. If you want to get meaningful backtraces see https://wiki.gentoo.org/wiki/Project:Quality_Assurance/Backtraces
- verify-provenance Verify provenance of PyPI distfiles (verifies that the artifact comes from upstream source repository)
4 expansion flags (python targets, ABIs, cpu flags…)
- python_targets_python3_12
- python_targets_python3_13
- python_targets_python3_14
- python_targets_python3_15
Runtime dependencies of 1.18.0
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fortran?
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python_targets_python3_12?
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python_targets_python3_13?
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python_targets_python3_14?
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python_targets_python3_15?
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